CU7102 ADVANCED DIGITAL COMMUNICATION TECHNIQUES SYLLABUS FOR ME ECE 1ST SEMESTER - Anna University Internal marks 2018

CU7102 ADVANCED DIGITAL COMMUNICATION TECHNIQUES SYLLABUS FOR ME ECE 1ST SEMESTER

ANNA UNIVERSITY, CHENNAI
REGULATIONS - 2013
CU7102 ADVANCED DIGITAL COMMUNICATION TECHNIQUES SYLLABUS
ME 1ST SEM ELECTRONICS AND COMMUNICATION ENGINEERING SYLLABUS
CU7102 ADVANCED DIGITAL COMMUNICATION TECHNIQUES SYLLABUS
CU7102 ADCT SYLLABUS
OBJECTIVES:
 To understand the basics of signal-space analysis and digital transmission.
 To understand the coherent and noncoherent receivers and its impact on different channel characteristics.
 To understand Orthogonal Frequency Division Multiplexing.
 To understand the different block coded and convolutional coded digital communication systems..
 To understand the different Equalizers.

UNIT I COHERENT AND NON-COHERENT COMMUNICATION

Coherent receivers – Optimum receivers in WGN – IQ modulation & demodulation – Noncoherent receivers in random phase channels; MFSK receivers – Rayleigh and Rician channels – Partially coherent receivers – DPSK; M-PSK; M-DPSK--BER Performance Analysis. Carrier Synchronization- Bit synchronization.

UNIT II EQUALIZATION TECHNIQUES

Band Limited Channels- ISI – Nyquist Criterion- Controlled ISI-Partial Response signals- Equalization algorithms – Viterbi Algorithm – Linear equalizer – Decision feedback equalization – Adaptive Equalization algorithms.

UNIT III BLOCK CODED DIGITAL COMMUNICATION
Architecture and performance – Binary block codes; Orthogonal; Biorthogonal;  Transorthogonal – Shannon’s channel coding theorem; Channel capacity; Matched filter; Concepts of Spread spectrum communication – Coded BPSK and DPSK demodulators–  Linear block codes; Hammning; Golay; Cyclic; BCH ; Reed – Solomon codes. Space time block codes

UNIT IV CONVOLUTIONAL CODED DIGITAL COMMUNICATION

Representation of codes using Polynomial, State diagram, Tree diagram, and Trellis diagram – Decoding techniques using Maximum likelihood, Viterbi algorithm, Sequential and Threshold methods – Error probability performance for BPSK and Viterbi algorithm, Turbo Coding.

UNIT V OFDM
Generation of sub-carriers using the IFFT; Guard Time and Cyclic Extension; Windowing;  OFDM signal processing; Peak Power Problem: PAP reduction schemes- Clipping, Filtering, Coding and Scrambling.

TOTAL: 45 PERIODS

OUTCOMES:

Upon Completion of the course, the students will be able to
 Develop the ability to understand the concepts of signal space analysis coherent and noncoherent receivers.
 Comprehend the generation of OFDM signals and the processing of the signals.
 Possess knowledge on different block codes and convolutional codes.
 Conceptually appreciate different Equalization techniques.

REFERENCES:

1. M.K.Simon, S.M.Hinedi and W.C.Lindsey, Digital communication techniques; Signalling and detection, Prentice Hall India, New Delhi. 1995.
2. Simon Haykin, Digital communications, John Wiley and sons, 1998
3. Bernard Sklar., ‘Digital Communications’, second edition, Pearson Education, 2001.
4. John G. Proakis., ‘Digital Communication’, 4 th edition, Mc Graw Hill Publication, 2001
5. Theodore S.Rappaport., ‘Wireless Communications’, 2nd edition, Pearson Education, 2002.
6. Stephen G. Wilson., ‘Digital Modulation and Coding’, First Indian Reprint, Pearson Education, 2003.
7. Richard Van Nee & Ramjee Prasad., ‘OFDM for Multimedia Communications’ Artech House Publication, 2001.

1 comment:

  1. Hi I'm mathymalar doing m.e (communication system), I need notes for the following
    Advanced digital communication techniques
    Advanced digital signal processing
    Advanced radiation systems
    Optical Networks applied mathematics for communication engineers
    Real time embedded systems

    ReplyDelete